Run
10228146

Run 10228146

Task 2295 (Supervised Regression) cholesterol Uploaded 20-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.bdf8a719b76476a7(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.28c3ca38e60561de(1)_in_features13
torch.nn.modules.linear.Linear.28c3ca38e60561de(1)_out_features32
torch.nn.modules.activation.LeakyReLU.c87f0f4b8e289cbc(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.c87f0f4b8e289cbc(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.77a5f74129ca8d62(1)_inplacefalse
torch.nn.modules.dropout.Dropout.77a5f74129ca8d62(1)_p0.5
torch.nn.modules.linear.Linear.c5eeb23ec310f14c(1)_in_features32
torch.nn.modules.linear.Linear.c5eeb23ec310f14c(1)_out_features1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

7 Evaluation measures

Mean absolute error
178.6745 ± 46.9408
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
39.3139 ± 6.092
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.5448 ± 1.6674
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
51.6914 ± 10.5853
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
190.9436 ± 43.2749
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.6939 ± 1.2627
Cross-validation details (10-fold Crossvalidation)